机器学习总结篇一:机器学习总结目 录前言..................................................................................................... ............................................. 2 Naive Bayes ................................................................................................. ...................................... 2 Linear Regression & Logistic Regression ......................................................................................... ..3 Bias-variance trade-off & Regularization .................................................................................... ......5 SVM ................................................................................................... ................................................ 8 Optimization...................................................................................... .............................................. 13 EM ..................................................................................................... .............................................. 15 Mixtures of Gaussians .......................................................................................... ................... 16 ME ..................................................................................................... .............................................. 17 HMM ................................................................................................. .............................................. 18 MEMM .............................................................................................. .............................................. 21 CRF .................................................................................................... .............................................. 22 Decision Tree ................................................................................................... ................................ 23 ID3 ...................................
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